Amazon SageMaker Training Compiler
GPTKB entity
Properties (58)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
gptkbp:developedBy |
gptkb:Amazon_Web_Services
|
gptkbp:enables |
Mixed precision training
|
gptkbp:enhances |
Resource utilization
|
gptkbp:hasAccessTo |
gptkb:AWS_Management_Console
gptkb:AWS_CLI SDKs |
https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Training Compiler
|
gptkbp:improves |
Training performance
|
gptkbp:integratesWith |
Amazon SageMaker
|
gptkbp:integration |
CI/CD pipelines
|
gptkbp:isAvailableIn |
Multiple AWS regions
|
gptkbp:isCompatibleWith |
gptkb:AWS_Inferentia
NVIDIA GPUs Various data sources |
gptkbp:isCriticizedFor |
Enterprises
Startups |
gptkbp:isDesignedFor |
Enterprise applications
|
gptkbp:isDocumentedIn |
AWS documentation
|
gptkbp:isEnhancedBy |
User feedback
|
gptkbp:isFamilyFriendly |
Developers
Data analysts |
gptkbp:isOptimizedFor |
High-performance computing
Deep learning frameworks |
gptkbp:isPartOf |
Amazon SageMaker ecosystem
AI and ML strategy Cloud-based machine learning solutions AWS_AI_services AWS_cloud_services |
gptkbp:isPromotedBy |
AWS_marketing
|
gptkbp:isSuitableFor |
Large datasets
|
gptkbp:isSupportedBy |
Community forums
AWS_support |
gptkbp:isUpdatedBy |
New features regularly
|
gptkbp:isUsedBy |
Researchers
Data scientists Machine learning engineers |
gptkbp:isUsedFor |
Large-scale model training
Model training optimization |
gptkbp:isUsedIn |
Academic research
Industry applications |
gptkbp:offers |
Pre-built algorithms
Custom training scripts |
gptkbp:provides |
Profiling tools
Scalability options Automatic optimization Model tuning capabilities |
gptkbp:purpose |
Optimize training of deep learning models
|
gptkbp:reduces |
Cost of training
Training time |
gptkbp:security |
AWS_security_standards
|
gptkbp:supports |
gptkb:PyTorch
TensorFlow Real-time inference Distributed training Batch training Hyperparameter_tuning |
gptkbp:uses |
Graph optimization techniques
|